Multimodal connectivity mapping of the human left anterior and posterior lateral prefrontal cortex
Description: In this study, we investigated the connectivity of the anterior and posterior parts of the lateral prefrontal cortex (LPFC). We estimated connectivity using three separate approaches: resting-state BOLD covariance, structural covariance based on cortical thickness, and meta-analytic connectivity modelling (MACM). We found a distinct overlap of all measures, more strongly for aLPFC, with working memory networks defined in a previous study, and a contrast between resting state aLPFC and pLPFC activation that is consistent with the idea of a hierarchical organization of frontoparietal networks. We also found significant anti-correlations of these seed region, with aLPFC but not pLPFC showing a substantial overlap with networks previously associated with social and emotional processing. This dataset was automatically imported from the ANIMA <http://anima.modelgui.org/> database. Version: 1
Related article: http://doi.org/10.1007/s00429-015-1060-5
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